SERVICES
Your own AI models, trained for your business
When an off-the-shelf model is not enough, we design, train and run your own models in production: deep learning, voice, predictive models and fine-tuned LLMs. For businesses with a problem that standard tools cannot solve.
Tell us about your projectWhat is a custom AI model?
It is an AI model designed and trained for a specific problem in your business, instead of using a generic one as it comes. It can be a voice model, a predictive model or an LLM fine-tuned to your domain. It also includes the infrastructure to serve it in production with the latency, cost and scale you need.
Problems we solve
- We have tried the AI tools on the market and they do not work well with our data.
- We need our own voice for our product, not one from a catalogue.
- We have a model prototype that works on a laptop, but we do not know how to take it into production.
- Using a generic model through a third party is too expensive or too slow for us.
What we build
Deep learning models
Models designed and trained for your problem and your data.
Voice models
Text-to-speech and consented voice cloning, so you have a voice of your own.
Predictive models
Models that anticipate demand, risks or behaviour from your data.
Fine-tuned and deployed LLMs
Language models fine-tuned to your domain and deployed where you need them.
Inference infrastructure
Your model served in production, with latency, cost, scaling and monitoring under control.
How we work
- 01
Free diagnosis
We check whether you really need your own model or whether an existing one will do. If it will, we tell you.
- 02
Fixed proposal in phases
Fixed scope, timeline and price, with a first phase to confirm the model solves your problem.
- 03
Training with frequent deliveries
We train, measure and show you results at each iteration.
- 04
Production and ongoing improvement
We serve the model in production and monitor it to keep it up to date. Maintenance is optional.
Technology
Deep learning, voice models and state-of-the-art LLMs, with cloud inference infrastructure designed around latency and cost.
Our team's experience
Our team's experience: at Aflorithmic, Antonio took AI voice models (text-to-speech and ethical voice cloning) and their real-time inference infrastructure into production (the Digital Einstein project, published at Interspeech 2021). The team works with deep learning and has a research background in signal processing.
Frequently asked questions
When is a custom model worth it over a generic one?
When a generic model does not get it right with your data, when you need your own voice or behaviour, or when its latency or cost does not fit. We assess this with you in the diagnosis.
Do you use my data for training?
Only with your express written consent. For a custom model we agree with you from the start which data is used, and it is hosted in the European Union by default.
Can you clone a voice?
Yes, always with the consent of the person whose voice is being cloned. That is what we mean by ethical voice cloning.
Do you handle putting it into production?
Yes. We deliver the model running in production, with the infrastructure to serve and monitor it, not just a prototype.
How much does it cost?
It depends on the type of model, the data available and where it has to run. After the free diagnosis we give you a fixed proposal in phases.
Start with a free diagnosis
Tell us what you need. Then we send you a fixed proposal with scope, timeline and price.
Tell us about your project